Mohammad Ayoub Khan & Fahad Algarni 
Smart Cities: A Data Analytics Perspective [PDF ebook] 

Ủng hộ


This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve the livability. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data. The smart city has a focus on data analytics facilitated through the Io T platforms.  There is a need to customize the Io T architecture and infrastructures to address needs in application of specific domains of smart cities such as transportation, traffic, health and, environment. The smart cities will provide next generation development technologies for urbanization that includes the need of environmental sustainability, personalization, mobility, optimum energy utilization, better administrative services and higher quality of life. Each chapter presents the reader with an in-depth investigation regarding the possibility of data analytics perspective in smart cities. The book presents cutting-edge and future perspectives of smart cities, where industry experts, scientists, and scholars exchange ideas and experience about surrounding frontier technologies, breakthrough and innovative solutions and applications.

€171.19
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Mục lục

Fundamental of Smart Cities.- A context aware big data analytics service-centric process modeling approach.- Smart Energy: A Collaborative Demand Response Solution for Smart Neighborhood.

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Ngôn ngữ Anh ● định dạng PDF ● Trang 319 ● ISBN 9783030609221 ● Kích thước tập tin 12.3 MB ● Biên tập viên Mohammad Ayoub Khan & Fahad Algarni ● Nhà xuất bản Springer International Publishing ● Thành phố Cham ● Quốc gia CH ● Được phát hành 2020 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 7710610 ● Sao chép bảo vệ DRM xã hội

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